UC Berkeley's Division of Data Sciences and edX have recently announced that Berkeley's popular Foundations of Data Science course will be available online this spring as a Foundations of Data Science Professional Certificate Program.
This new online program will enable a public audience to think critically about data, to interpret and communicate results, and to consider the social implications of data-driven research. By integrating data-driven methods with domain knowledge to answer a broad range of questions, the courses will help students analyze and understand a diverse array of real-world data sets including economic data, geographic data and social networks.
Students need only a browser and a desire to learn — no prior statistics, computer science or programming experience is required or expected, and all computational analysis will be done seamlessly in the cloud.
Currently configured as a sequence of three 5-week courses, the new certificate program is being taught by award winning Berkeley faculty Ani Adhikari, John Denero, and David Wagner.
- Foundations of Data Science: Computational Thinking with Python, starting on April 3, will cover the basics of computational thinking, an essential skill in today’s data-driven world, using the popular programming language Python.
- Foundations of Data Science: Inferential Thinking by Resampling will teach students how to use inferential thinking to make conclusions about unknowns based on data in random samples.
- Foundations of Data Science: Prediction and Machine Learning, will teach students how to use machine learning, with a focus on regression and classification, to automatically identify patterns in data and make better predictions.
Data 8X: Foundations of Data Science now on edX
UC Berkeley Division of Data Sciences | January 18, 2018